See exactly what’s in your content estate, and what it takes to govern it.
No firm has a single view of its own client content. That's a risk.
Client data, deliverables, and correspondence span regions and practices, across systems no single team fully tracks. Redundant content drives hallucination, missing metadata causes AI to lose context, and content that crosses client or engagement boundaries becomes a confidentiality problem the moment it reaches an AI pipeline.
The risk increases as content piles up. It’s why pilots that looked promising in testing produce unreliable results and stall before reaching production. DryvIQ makes client content governed, trusted, and safe to use in AI initiatives, so your investment can scale with confidence instead of confidentiality risk.
How DryvIQ works for business services organizations
Stage 1 | Access
DryvIQ connects to 40+ content systems, closing the gap between where content lives across practices and regions and where AI can reach it. That means AI works from your full content estate, not a partial view of it.
Stage 2 | Classify
DryvIQ classifies 5,000+ document types and 160+ sensitive entity types out of the box, enriching every file with the metadata AI needs to interpret it correctly. Client confidentiality is enforced before content ever reaches AI.
Stage 3 | Take Action
DryvIQ automates anonymization, permission correction, and retention enforcement at petabyte scale, removing redundant and obsolete content along the way. Governance becomes a living system, not a one-time project.
An accurate, defensible picture of who can see what
DryvIQ gives risk and compliance teams an accurate, continuously updated picture of where sensitive client content lives and who actually has access to it, before any of it reaches an AI system.
- Identify content that’s been overshared or over-permissioned so AI never surfaces it to someone who shouldn’t see it
- Every classification and access decision is logged in an immutable audit trail available for client or regulatory review
- Teams find the right, correctly-scoped document in a fraction of the time, instead of guessing which version is safe to feed into an AI query
AI outputs your teams can act on
Noise and unmanaged sensitive content are the two things most likely to erode confidence in AI before it ever proves its value.
- Model outputs improve directly as redundant, obsolete, and trivial content is identified and removed
- Compliance guardrails stay built in, so higher-confidence outputs don’t come at the cost of client confidentiality
- The framework compounds over time, so each new use case builds on an increasingly clean and governed foundation instead of starting over
Consolidating content after a merger between practices, standardizing systems across a growing network, or retiring a legacy document management platform? DryvIQ moves and governs that content without disrupting the teams who depend on it.
Intelligent File Migration
Move content across on-premises and cloud-based storage systems with full fidelity, at petabyte scale, without interrupting the people who depend on it every day.
Storage Optimization & Archive
Surface redundant, obsolete, and trivial content sitting across closed engagements and retire it defensibly, while enforcing retention automatically and keeping every file instantly recoverable.